Professional services is one of the categories where AI search has changed buyer behaviour fastest. Two years ago, finding an accountant or solicitor meant scrolling Google, picking a few sites, and forming an opinion. Today, an increasing share of buyers ask ChatGPT or Perplexity for the recommendation and treat the answer as a shortlist.
That makes citation rate a board-level metric for professional-services firms. Whether you appear in the answer to "best accountant for UK startups" or "law firm for property disputes in Surrey" determines whether you ever get to the conversation.
A few patterns recur across firms we work with.
The firms that win are extremely specific. "Tax advice" is too broad to be cited. "R&D tax credit advice for early-stage SaaS founders in the UK" is specific enough that AI engines surface a firm that has consistently written about exactly that. Specificity is a feature, not a limitation.
Authorship signals matter. Articles attributed to a named partner, with credentials, photo, and a track record of related publications, are cited far more than anonymous firm-byline content. The model is reasoning about expertise — give it something to reason about.
Third-party citations are disproportionately valuable. Being quoted in a recognised trade publication, sector newsletter or professional body's report is one of the strongest signals AI engines use. Many firms underinvest in this kind of placement; the ones that lean into it pull ahead quickly.
Pricing transparency, even at directional level, helps. When a model can extract a specific "fixed-fee from £X" or "ranges from Y to Z" from your content, it materially raises the probability of citation on cost-related queries.
Professional services has historically been a relationship business. AI search hasn't changed that — it has just moved the start of the relationship earlier, into a conversation between a buyer and a chatbot. The firms that learn how to be in that conversation are taking share from the ones that haven't noticed it's happening.